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Study on the DQPSK Demodulation Method based on Virtual Radio

机译:基于虚拟无线电的DQPSK解调方法研究

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Discrete short time Fourier transformation (DSTFT) is a common and effective method in digital signal processing and analysis. In the most applications, amplitude information of Fourier transform is utilized instead of phase information. An algorithm based on the sliding DSTFT is presented in this paper. The demodulation of DQPSK signal is achieved using phase information in frequency domain. The principle and process of the algorithm are detail researched. The fast recursive algorithm is given under the two window functions, and the bit error rate (BKR) is analyzed. The simulation shows that the DSTFT-based algorithm can get high performance, and facilitate software real-time processing. In the Gaussian white noise channel, when BLR is 10"4, the performance of the algorithm is nearly ldB better than the traditional differential detection method.
机译:离散短时傅立叶变换(DSTFT)是数字信号处理和分析中常用且有效的方法。在大多数应用中,利用傅立叶变换的幅度信息代替相位信息。提出了一种基于滑动DSTFT的算法。 DQPSK信号的解调是使用频域中的相位信息实现的。详细研究了该算法的原理和过程。在两个窗口函数下给出了快速递归算法,并分析了误码率(BKR)。仿真结果表明,基于DSTFT的算法具有较高的性能,并有利于软件的实时处理。在高斯白噪声信道中,当BLR为10“ 4时,该算法的性能比传统的差分检测方法高出近1dB。

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